Suspicious action recognition in surveillance based on handcrafted and deep learning methods: A survey of the state of the art
Suspicious action recognition is a captivating and testing task in the realm of surveillance.
An anomaly recognition framework recognizes abnormal happenings uniquely in contrast to …
An anomaly recognition framework recognizes abnormal happenings uniquely in contrast to …
Potato Leaf Disease Classification Using Optimized Machine Learning Models and Feature Selection Techniques
M Radwan, AA Alhussan, A Ibrahim, SM Tawfeek - Potato Research, 2024 - Springer
The diseases that particularly affect potato leaves are early blight and the late blight, and
they are dangerous as they reduce yield and quality of the potatoes. In this paper, different …
they are dangerous as they reduce yield and quality of the potatoes. In this paper, different …
Optimized Deep Learning for Potato Blight Detection Using the Waterwheel Plant Algorithm and Sine Cosine Algorithm
AM Elshewey, SM Tawfeek, AA Alhussan, M Radwan… - Potato Research, 2024 - Springer
Potato blight, sometimes referred to as late blight, is a deadly disease that affects
Solanaceae plants, including potato. The oomycete Phytophthora infestans is causal agent …
Solanaceae plants, including potato. The oomycete Phytophthora infestans is causal agent …
[HTML][HTML] Multi-Strategy Enhanced Parrot Optimizer: Global Optimization and Feature Selection
T Chen, Y Yi - Biomimetics, 2024 - pmc.ncbi.nlm.nih.gov
Optimization algorithms are pivotal in addressing complex problems across diverse
domains, including global optimization and feature selection (FS). In this paper, we …
domains, including global optimization and feature selection (FS). In this paper, we …
[PDF][PDF] Rank-based Adaptive Brooding in Mimetic Coral Reefs Search
SA Farjadi, M Alimohammadi… - AUT Journal of Modeling …, 2024 - miscj.aut.ac.ir
Mimetic Coral Reefs Optimization (MCRO) has proven highly effective for feature selection
due to its capacity to explore diverse solution spaces, enhancing model accuracy and …
due to its capacity to explore diverse solution spaces, enhancing model accuracy and …
Comparative Analysis of the Performance of Feature Selection Methods in Diabetic Retinopathy Prediction Using Multilayer Perceptron Model
O Folorunsho, OA Fagbuagun… - Covenant …, 2024 - journals.covenantuniversity.edu.ng
Diabetic Retinopathy (DR), a leading cause of visual impairment among working-age adults,
is increasing globally, necessitating effective predictive tools. Machine learning (ML) …
is increasing globally, necessitating effective predictive tools. Machine learning (ML) …